User:Aleboyer: Difference between revisions

Revision as of 11:44, 25 June 2021

Extract the profile defined in step 2.
High-pass filter the shear-probe and (optionally) the vibration data.
Identify each diss-length segment in the profile.
De-spike the shear-probe data, and track the fraction of data affected by de-spiking within each diss-length segment. This will become a quality-control metric.
Calculate the frequency spectra and cross-spectra of shear and vibrations for each diss-length segment using the method described here.
Extract the original and the vibration-coherent clean shear-probe frequency spectra.
Correct shear and vibration frequency spectra for the high-pass filter.
Correct the cleaned frequency spectra for the bias induced by the Goodman algorithm.
Convert the frequency spectra into wavenumber spectra using the mean speed for each diss-length segment.
Correct the spectra of shear for the wavenumber response of the shear probe.
Apply an iterative spectral integration algorithm to estimate the variance of shear, which is described here.
Calculate the rate of dissipation by multiplying the shear variance by

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 == Dissipation rate estimation ==
-The processing of shear-probe data can be divided into the following five major steps and these steps apply to data collected with any platform or vehicle. There are many sub-steps to these major steps. The major steps are;
-# 	Conversion to physical units.
-#:* 	[[Determine the speed of profiling]] of the shear-probe through the water.
-#:*  	Determine the temperature of the water.
-#:*  	Convert the shear-probe data samples into physical units
-#:*  	Convert all other signals per the recommendations of the manufacturer of the sensor or instruments that produce these signals.
 #       Extract the profile defined in step 2.